data_table_generator

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, and description only states conversion operation without disclosing side effects, error handling, or statelessness.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise sentences front-load purpose and reference describe_tool for details, though more structured parameter info would help.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 4 required parameters, no schema descriptions, and no output schema, the description lacks parameter usage details and output format, making it incomplete for agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and description does not explain any of the four required parameters (operation, headers, rows, format), failing to add meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it converts tabular data between Markdown, HTML, CSV, and TSV with alignment controls, distinguishing it from sibling conversion tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implicitly suggests input should be in one of the four formats, but lacks explicit when-to-use vs alternatives like csv_to_json or html_to_markdown.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.